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  <title><![CDATA[PhD Defense by Josh McDonald]]></title>
  <body><![CDATA[<p><strong>Student: Josh McDonald</strong><br /></p><p><strong>Title:&nbsp;&nbsp;Topics in the Statistical Aspects of Simulation</strong></p><p><strong>Advisor:&nbsp;&nbsp;</strong>Dr. David Goldsman</p><p><strong>Committee Members</strong>:&nbsp;Dr. Christos Alexopolous, Laurie Garrow (School of Civil and Environmental Engineering, Georgia Tech), Dr. Paul Griffin, and Dr. Brani Vidakovic</p><p><strong>Date and time:</strong>&nbsp;&nbsp;Tuesday, August 11, 2015, 9:00 AM</p><p><strong>Location:&nbsp;&nbsp;Groseclose 402</strong></p><p><strong>Abstract:</strong></p><p>In the first part of the thesis, we apply various variance reduction techniques to the estimation of Asian averages and options and propose an easy-to-use quasi-Monte Carlo method that can provide significant variance reductions with minimal increases in computational time. We have also extended these techniques to estimate higher moments of the Asians averages.</p><p>In the second part, we then use these estimated moments to efficiently implement Gram-Charlier based estimators for probability distribution functions of Asian averages and options.</p><p>Finally, in the third part, we investigate a ranking and selection application that uses post hoc analysis to determine how the circumstances of procedure termination affect the probability of correct selection.</p><p> </p>]]></body>
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